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ORCIDDheeraj Rajagopal
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2020 – today
- 2024
[i19]Ruixin Yang, Dheeraj Rajagopal, Shirley Anugrah Hayati, Bin Hu, Dongyeop Kang:
Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation. CoRR abs/2404.09127 (2024)- 2023
- [c21]Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal, Lyle H. Ungar, Dongyeop Kang:
StyLEx: Explaining Style Using Human Lexical Annotations. EACL 2023: 2835-2848 - [c20]Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy:
Template Filling for Controllable Commonsense Reasoning. IJCNLP (Findings) 2023: 250-260 - [i18]Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui:
AutoMix: Automatically Mixing Language Models. CoRR abs/2310.12963 (2023) - [i17]Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang:
How Far Can We Extract Diverse Perspectives from Large Language Models? Criteria-Based Diversity Prompting! CoRR abs/2311.09799 (2023) - 2022
- [c19]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut
:
Conditional set generation using Seq2seq models. EMNLP 2022: 4874-4896 - [c18]Dheeraj Rajagopal, Xuchao Zhang, Michael Gamon, Sujay Kumar Jauhar, Diyi Yang, Eduard H. Hovy:
One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents. LREC 2022: 5517-5524 - [i16]Dheeraj Rajagopal, Siamak Shakeri, Cícero Nogueira dos Santos, Eduard H. Hovy, Chung-Ching Chang:
Counterfactual Data Augmentation improves Factuality of Abstractive Summarization. CoRR abs/2205.12416 (2022) - [i15]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. CoRR abs/2205.12485 (2022) - [i14]Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal, Lyle H. Ungar, Dongyeop Kang:
StyLEx: Explaining Styles with Lexicon-Based Human Perception. CoRR abs/2210.07469 (2022) - 2021
- [c17]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint ? Generating inference graphs for defeasible reasoning. ACL/IJCNLP (Findings) 2021: 5138-5147 - [c16]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Summarization via Structured Representations. EACL 2021: 2575-2585 - [c15]Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov:
SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. EMNLP (1) 2021: 836-850 - [c14]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP (1) 2021: 6291-6310 - [i13]Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov:
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers. CoRR abs/2103.12279 (2021) - [i12]Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy:
CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR abs/2104.00814 (2021) - [i11]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy:
Improving Neural Model Performance through Natural Language Feedback on Their Explanations. CoRR abs/2104.08765 (2021) - [i10]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint? Generating inference graphs for defeasible reasoning. CoRR abs/2105.05418 (2021) - [i9]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. CoRR abs/2110.12349 (2021) - [i8]Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy:
Cross-Domain Reasoning via Template Filling. CoRR abs/2111.00539 (2021) - 2020
- [c13]Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy:
What-if I ask you to explain: Explaining the effects of perturbations in procedural text. EMNLP (Findings) 2020: 3345-3355 - [c12]Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy:
A Dataset for Tracking Entities in Open Domain Procedural Text. EMNLP (1) 2020: 6408-6417 - [i7]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR abs/2003.00576 (2020) - [i6]Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy:
What-if I ask you to explain: Explaining the effects of perturbations in procedural text. CoRR abs/2005.01526 (2020) - [i5]Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye:
EIGEN: Event Influence GENeration using Pre-trained Language Models. CoRR abs/2010.11764 (2020) - [i4]Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy:
A Dataset for Tracking Entities in Open Domain Procedural Text. CoRR abs/2011.08092 (2020)
2010 – 2019
- 2019
- [c11]Dheeraj Rajagopal, Nidhi Vyas, Aditya Siddhant, Anirudha Rayasam, Niket Tandon, Eduard H. Hovy:
Domain Adaptation of SRL Systems for Biological Processes. BioNLP@ACL 2019: 80-87 - [c10]Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu:
Modeling the Relationship between User Comments and Edits in Document Revision. EMNLP/IJCNLP (1) 2019: 5001-5010 - 2018
- [c9]Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov:
Gated-Attention Architectures for Task-Oriented Language Grounding. AAAI 2018: 2819-2826 - [c8]Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal, William W. Cohen:
Learning to Define Terms in the Software Domain. NUT@EMNLP 2018: 164-172 - [c7]Bhuwan Dhingra, Danish Pruthi, Dheeraj Rajagopal:
Simple and Effective Semi-Supervised Question Answering. NAACL-HLT (2) 2018: 582-587 - [i3]Eduard H. Hovy, Taylor Berg-Kirkpatrick, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alexander G. Hauptmann, Florian Metze, Teruko Mitamura, Aditi Chaudhary, Xianyang Chen, Bernie Po-Yao Huang, Hector Zhengzhong Liu, Xuezhe Ma, Shruti Palaskar, Dheeraj Rajagopal, Maria Ryskina, Ramon Sanabria:
OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 2018 - [i2]Bhuwan Dhingra, Danish Pruthi, Dheeraj Rajagopal:
Simple and Effective Semi-Supervised Question Answering. CoRR abs/1804.00720 (2018) - 2017
- [i1]Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov:
Gated-Attention Architectures for Task-Oriented Language Grounding. CoRR abs/1706.07230 (2017) - 2016
- [c6]Jun Araki, Dheeraj Rajagopal, Sreecharan Sankaranarayanan, Susan Holm, Yukari Yamakawa, Teruko Mitamura:
Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts. COLING 2016: 1125-1136 - 2015
- [c5]Erik Cambria, Dheeraj Rajagopal, Kenneth Kwok, Jose Sepulveda:
GECKA: Game Engine for Commonsense Knowledge Acquisition. FLAIRS 2015: 282-287 - 2014
- [c4]Erik Cambria, Daniel Olsher, Dheeraj Rajagopal:
SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis. AAAI 2014: 1515-1521 - 2013
- [c3]Dheeraj Rajagopal, Daniel Olsher, Erik Cambria, Kenneth Kwok:
Commonsense-based topic modeling. WISDOM 2013: 6:1-6:8 - [c2]Dheeraj Rajagopal, Erik Cambria, Daniel Olsher, Kenneth Kwok:
A graph-based approach to commonsense concept extraction and semantic similarity detection. WWW (Companion Volume) 2013: 565-570 - 2012
- [c1]Niket Tandon, Dheeraj Rajagopal, Gerard de Melo:
Markov Chains for Robust Graph-Based Commonsense Information Extraction. COLING (Demos) 2012: 439-446
Coauthor Index
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